Looker Studio vs Dataiku

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Our analysts compared Looker Studio vs Dataiku based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

Google Looker Studio is a robust data analytics and business intelligence platform designed to help organizations extract valuable insights from their data. It offers a user-friendly interface for data exploration, powerful visualization tools, and real-time data monitoring. Key features include customizable dashboards, SQL-based queries, and seamless data integration from various sources. Users can collaborate within the platform, fostering a data-driven culture. Looker Studio empowers users to make data-informed decisions, with the ability to create tailored reports and leverage machine learning for predictive analytics. It suits businesses of all sizes and industries, facilitating scalable analytics and promoting data-driven decision-making.
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Dataiku is a powerful data analytics platform designed to empower organizations with data-driven insights and machine learning capabilities. It offers a comprehensive suite of features, including data integration, preparation, and advanced machine learning, all within a user-friendly interface. Dataiku facilitates collaboration among data professionals and business users, streamlining the data analytics process. Its AutoML capabilities simplify machine learning model development, making it accessible to users with varying levels of expertise. Real-time insights and scalability are key benefits, allowing organizations to make timely decisions and adapt to changing data requirements. Despite some learning curve challenges, Dataiku remains a favored choice for medium and large businesses seeking robust data analytics solutions.
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$3,000 Monthly
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$4,000 Monthly
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Tailored to your specific needs
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Product Assistance

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Product Insights

  • Actionable Insights: Google Looker Studio empowers businesses to derive actionable insights from their data. It goes beyond raw data to provide meaningful, data-driven recommendations and strategies.
  • Unified Data Platform: Looker Studio offers a unified data platform that brings together data from various sources, enabling a holistic view of your organization's data. This centralization streamlines decision-making and enhances data consistency.
  • Scalable Analytics: Scalability is a key advantage of Looker Studio. Whether you're a small startup or a large enterprise, it can scale with your data needs, ensuring you have the analytics power you require as your business grows.
  • Customizable Dashboards: With Looker Studio, you can create customized dashboards tailored to your specific needs. This flexibility allows you to focus on the metrics that matter most to your organization.
  • Collaborative Environment: Collaboration is made easy with Looker Studio. Teams can work together within the platform, share insights, and collaborate on data-driven decisions, fostering a data-driven culture within your organization.
  • Real-Time Data: Stay up-to-date with real-time data insights. Looker Studio provides real-time analytics, enabling you to make informed decisions quickly and adapt to changing circumstances.
  • Enhanced Data Security: Security is a top priority, and Looker Studio offers robust data security features, including role-based access control and encryption, ensuring your data remains protected.
  • Reduced Time-to-Insight: Looker Studio's intuitive interface and powerful querying capabilities reduce the time it takes to extract valuable insights from your data, accelerating decision-making processes.
  • Optimized Performance: The platform optimizes data performance, ensuring that you can analyze large datasets efficiently, even in complex analytical scenarios.
  • Adaptive Analytics: Looker Studio adapts to changing business needs, allowing you to evolve your analytics strategy as your organization grows and your data requirements change.
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  • Advanced Data Preparation: Dataiku offers powerful data preparation tools, allowing users to clean, transform, and enrich data easily. This ensures that data is ready for analysis and modeling.
  • Collaborative Environment: Dataiku provides a collaborative workspace where data scientists, analysts, and business users can work together seamlessly, fostering cross-functional teamwork.
  • Scalable Machine Learning: With Dataiku, organizations can build, deploy, and monitor machine learning models at scale. This empowers data-driven decision-making across the enterprise.
  • AutoML Capabilities: Dataiku's AutoML functionality automates the model selection and hyperparameter tuning process, making it easier for users to create accurate machine learning models.
  • Visual Data Exploration: Users can visually explore data, gaining valuable insights through interactive charts and graphs, simplifying the process of uncovering trends and patterns.
  • Model Deployment: Dataiku streamlines the deployment of machine learning models into production, ensuring that insights generated from data are put into action efficiently.
  • Data Governance: Dataiku offers robust data governance features, including data lineage, access controls, and auditing, to maintain data quality and compliance.
  • Automated Reporting: Users can create automated reports and dashboards to share insights with stakeholders, saving time and ensuring data-driven decisions are accessible to all.
  • Flexible Integration: Dataiku seamlessly integrates with a variety of data sources and tools, making it adaptable to existing data ecosystems and technologies.
  • Interpretable AI: Dataiku places a strong emphasis on model explainability, helping users understand why AI models make specific predictions, enhancing trust and transparency.
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  • Interactive Dashboards: Create dynamic, interactive dashboards that allow users to explore data, drill down into details, and gain insights effortlessly.
  • Customizable Reports: Generate tailored reports with a variety of visualization options, including charts, graphs, and tables, to communicate data findings effectively.
  • Data Exploration: Easily explore and analyze data from multiple sources with intuitive data exploration tools, making it simple to uncover hidden patterns and trends.
  • SQL-Based Queries: Leverage the power of SQL for querying and manipulating data, enabling advanced users to perform complex analyses and calculations.
  • Data Integration: Seamlessly integrate data from various platforms and sources, including databases, cloud services, and spreadsheets, for a holistic view of your organization's data.
  • Machine Learning Integration: Incorporate machine learning models and predictive analytics into your data analysis, allowing for data-driven predictions and recommendations.
  • Collaborative Workspace: Foster collaboration among team members by sharing data, insights, and reports within the platform, promoting data-driven decision-making across the organization.
  • Role-Based Access Control: Ensure data security with role-based access control, granting different levels of access to users based on their roles and responsibilities.
  • Real-Time Data Monitoring: Keep a pulse on your data with real-time data monitoring and alerts, allowing you to respond promptly to changing conditions and opportunities.
  • Scalable Architecture: Scale your analytics infrastructure as your organization grows, accommodating increasing data volumes and user demands without sacrificing performance.
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  • Data Integration: Dataiku offers seamless data integration capabilities, allowing users to connect to various data sources, import data, and prepare it for analysis.
  • Machine Learning Studio: Users can build, train, and deploy machine learning models in a user-friendly visual interface, streamlining the data science workflow.
  • Data Preparation: Dataiku provides robust data preparation tools, enabling users to clean, transform, and enrich data efficiently for analysis.
  • AutoML: The AutoML functionality automates model selection and hyperparameter tuning, simplifying the process of creating accurate machine learning models.
  • Collaboration Hub: Dataiku offers a collaborative environment where data scientists, analysts, and business users can work together on data projects.
  • Model Deployment: Users can easily deploy machine learning models into production, ensuring that insights generated from data are put into action.
  • Visual Data Exploration: Dataiku enables users to visually explore data through interactive charts and graphs, facilitating data discovery and insights.
  • Data Governance: The platform includes robust data governance features, such as data lineage, access controls, and auditing, ensuring data quality and compliance.
  • Automated Reporting: Users can create automated reports and dashboards to share insights with stakeholders, streamlining communication.
  • Scalability: Dataiku is designed to scale with an organization's data needs, making it suitable for both small teams and large enterprises.
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Product Ranking

#22

among all
Big Data Analytics Tools

#26

among all
Big Data Analytics Tools

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Analyst Rating Summary

70
91
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96
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84
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98
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Availability and Scalability
Platform Security
Reporting
Dashboarding and Data Visualization
Availability and Scalability
Data Management
Dashboarding and Data Visualization
Machine Learning
Augmented Analytics

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Looker Studio
Dataiku
+ Add Product + Add Product
Augmented Analytics Computer Vision And Internet Of Things (IoT) Dashboarding And Data Visualization Data Management Data Preparation Geospatial Visualizations And Analysis Machine Learning Mobile Capabilities Platform Capabilities Reporting 38 0 94 74 74 55 65 100 96 84 98 100 71 98 0 96 0 25 50 75 100
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75%
96%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

100%
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86%
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86%
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User Sentiment Summary

Great User Sentiment 1074 reviews
Excellent User Sentiment 7 reviews
86%
of users recommend this product

Looker Studio has a 'great' User Satisfaction Rating of 86% when considering 1074 user reviews from 3 recognized software review sites.

91%
of users recommend this product

Dataiku has a 'excellent' User Satisfaction Rating of 91% when considering 7 user reviews from 1 recognized software review sites.

4.4 (426)
n/a
n/a
4.57 (7)
4.3 (365)
n/a
4.2 (283)
n/a

Awards

SelectHub research analysts have evaluated Looker Studio and concluded it earns best-in-class honors for Reporting.

Reporting Award

SelectHub research analysts have evaluated Dataiku and concluded it earns best-in-class honors for Augmented Analytics. Dataiku stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award
Augmented Analytics Award

Synopsis of User Ratings and Reviews

Intuitive Interface: Users appreciate Looker Studio's user-friendly interface, making it easy to navigate and perform data analysis tasks.
Powerful Visualization: The platform offers a wide range of visualization options, enhancing data presentation and making insights more accessible.
Collaborative Tools: Users value the collaborative features, enabling teams to work together seamlessly, share insights, and drive data-driven decisions.
Real-Time Insights: Looker Studio's ability to provide real-time data insights helps users stay informed and agile in their decision-making processes.
Customization: Users can tailor dashboards and reports to their specific needs, allowing for a personalized analytics experience.
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Comprehensive Feature Set: Users appreciate Dataiku's wide range of features, from data preparation to advanced machine learning, enabling end-to-end data analytics.
Intuitive Interface: Dataiku's user-friendly interface receives praise for its ease of use, making it accessible to both data professionals and business users.
Effective Collaboration: Many users find Dataiku's collaborative environment conducive to teamwork, facilitating cross-functional collaboration on data projects.
Scalability: Dataiku's scalability is highly regarded, making it suitable for small teams and large enterprises, adapting to evolving data requirements.
AutoML Capabilities: Users value Dataiku's AutoML functionality, which simplifies machine learning, making it accessible to users with varying levels of expertise.
Real-Time Insights: Dataiku's ability to provide real-time insights is a significant benefit, enabling timely decision-making based on up-to-date data.
Data Governance: Dataiku's robust data governance features are highly regarded, helping maintain data quality and ensuring compliance with regulations.
Community and Support: Users appreciate the Dataiku community and support resources, which provide valuable assistance and guidance.
Integration Capabilities: Many users highlight Dataiku's seamless integration with other tools and systems, enhancing their data workflows.
Transparency and Explainability: Dataiku's focus on model transparency and explainability is praised, enhancing trust in machine learning models.
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Steep Learning Curve: Some users find Looker Studio challenging to learn, especially if they lack SQL or data analysis skills, leading to initial difficulties.
Data Integration Complexity: Integrating data from various sources can be complex, requiring substantial setup and maintenance efforts for certain users.
Resource Intensiveness: Resource-intensive tasks, such as processing large datasets, may lead to performance issues, causing frustration for some users.
Costs: The pricing structure can be a drawback for organizations with tight budgets, as Looker Studio's pricing may not be suitable for all user needs.
Limited Offline Functionality: Some users desire more robust offline capabilities, as Looker Studio primarily operates in an online environment.
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Steep Learning Curve: Some users find Dataiku's learning curve to be relatively steep, particularly for those new to data science and machine learning.
Resource Intensive: Running complex operations and large-scale data processing in Dataiku can be resource-intensive, potentially requiring substantial computing power.
Costly Licensing: The cost of Dataiku's licensing can be a concern for small organizations or startups with limited budgets.
Limited Free Version: The free community edition of Dataiku has limitations in terms of features and scalability, which may not meet the needs of larger enterprises.
Integration Challenges: Some users encounter challenges when integrating Dataiku with certain legacy systems or non-standard data sources, requiring additional effort and customization.
Dependency on Data Quality: The effectiveness of Dataiku's analysis and modeling heavily relies on the quality of input data, which can be a challenge if data is not well-maintained.
Customization Complexity: Highly customized data workflows may require a deeper understanding of the platform, potentially making customization more complex.
Real-Time Processing: Dataiku may not be the ideal choice for applications requiring real-time data processing, as it primarily focuses on batch processing.
Competitive Market: Dataiku operates in a competitive market with various alternatives, making it essential for users to evaluate if it aligns with their specific needs and budget.
Security Concerns: While Dataiku offers security features, organizations handling highly sensitive data may need additional security measures to meet compliance standards.
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User reviews for Google Looker Studio indicate both strengths and weaknesses. Many users praise its intuitive interface, which simplifies data analysis. The platform's powerful visualization tools and real-time insights are widely appreciated, enabling users to present and act on data effectively. Collaboration features also receive positive feedback, facilitating teamwork and informed decision-making. However, several users highlight challenges. A notable drawback is the steep learning curve, especially for those without SQL or data analysis skills. Some users find data integration complex and resource-intensive, potentially impacting performance. Cost considerations also arise, with users noting that Looker Studio's pricing may not align with all budgets. In comparison to similar products, Looker Studio stands out for its user-friendly interface and strong visualization capabilities. However, some users mention limitations in offline functionality, which competitors may handle better. Overall, Google Looker Studio appears to be a valuable tool for data analysis and collaboration, but it may require a learning curve and careful consideration of budget constraints.

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User reviews for Dataiku reveal a mixed sentiment, with notable strengths and weaknesses. Users appreciate Dataiku's comprehensive feature set, user-friendly interface, and its effectiveness in facilitating collaboration among diverse teams. Scalability is another advantage, making it suitable for various organizational sizes. AutoML capabilities and real-time insights are well-received for their accessibility and timeliness. However, several users express concerns about a steep learning curve, especially for newcomers to data science. The platform's resource-intensive nature can be challenging, and the cost of licensing may be a barrier for smaller organizations. Some users find limitations in the free community edition and face integration challenges with legacy systems or non-standard data sources. Data quality dependency and customization complexity are other reported cons. Dataiku is often compared to similar products in a competitive market, and users stress the importance of evaluating it against specific needs and budgets. Security-conscious organizations may need additional measures when handling sensitive data. Despite its limitations, Dataiku maintains a strong user base due to its robust feature set and collaborative capabilities, enabling data-driven decision-making in various industries.

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